Noise detection device for dish washing machine and control method of noise detection device

Abstract

The invention provides a dish-washing machine noise detection device and a control method thereof, particularly relates to the technical field of noise detection, and is used for accurately determining a noise source. The dish-washing machine noise detection device comprises a sound pressure sensor array which is opposite to the front face of target equipment and used for detecting sound pressure data of the target equipment; the fixing device is used for fixing the sound pressure sensor array; the at least one data acquisition device is used for acquiring sound pressure data detected by each sound pressure sensor; the controller is configured to obtain target sound pressure data, detected by the sound pressure sensor array, of each sound pressure sensor area within a preset sampling duration when the target equipment is in a working state; according to the target sound pressure data, determining a sound pressure root-mean-square value of each sound source area of the target equipment; performing curved surface interpolation processing on the sound pressure root mean square value of each sound source area to obtain curved surface data; and determining a noise source region based on the curved surface data.

Description

Technical Field

[0001] The present application relates to the technical field of noise detection, and in particular to a dishwasher noise detection device and a control method thereof. Background Art

[0002] At present, dishwashers, as a device for automatically washing tableware, not only reduce the user's workload of washing tableware, but also make the tableware more hygienic after being disinfected by the dishwasher.

[0003] However, during the process of washing dishes, the dishwasher may generate a lot of noise because the bowl basket and the dishwasher door may collide, and the dishes and bowl basket in the dishwasher, the dishwasher door, etc. may also collide, thereby affecting the user experience.

[0004] Therefore, how to identify the noise source is an urgent problem to be solved. Summary of the invention

[0005] The embodiment of the present application provides a dishwasher noise detection device and a control method thereof, which are used to obtain the sound pressure of each sound pressure sensor area through a sound pressure sensor array composed of sound pressure sensors, determine the sound pressure root mean square value of each sound source area corresponding to each sensor sound pressure area according to the sound pressure of each sound pressure sensor area, and then obtain the noise source area according to the sound pressure root mean square value of each sound source area, so as to accurately determine the noise source.

[0006] In order to achieve the above purpose, the embodiment of the present application adopts the following technical solution:

[0007] In a first aspect, a dishwasher noise detection device is provided, the device comprising:

[0008] A sound pressure sensor array, comprising a plurality of sound pressure sensors, the sound pressure sensor array is opposite to the front of the target device and is used to detect sound pressure data of the target device, the target device comprises a plurality of sound source areas, and the target device comprises a dishwasher;

[0009] A fixture formed by connecting a plurality of circular tubes, the fixture being used to fix the sound pressure sensor array;

[0010] At least one data acquisition device, used to acquire the sound pressure data detected by each sound pressure sensor;

[0011] A controller is electrically connected to the sound pressure sensor array and at least one data acquisition device, and the controller is configured to:

[0012] When the target device is in working state, the target sound pressure data of each sound pressure sensor area detected by the sound pressure sensor array within a preset sampling time is obtained, and one sound pressure sensor corresponds to one sound pressure sensor area;

[0013] Determine the root mean square value of the sound pressure of each sound source area of ​​the target device according to the target sound pressure data;

[0014] Performing surface interpolation processing on the root mean square value of the sound pressure in each sound source area to obtain surface data;

[0015] Based on the surface data, the noise source area is determined, and the noise source area is the sound source area where the maximum value in the surface data is located.

[0016] The technical solution provided by the embodiments of the present application brings at least the following beneficial effects: by setting up a sound pressure sensor array, the present application can obtain the mean square error of sound pressure in each sound source area of ​​the target device according to the sound pressure data detected by each sensor in the sound pressure sensor array. In this way, by further performing surface interpolation processing on the mean square error of sound pressure in each sound source area, surface data of multiple source areas can be obtained, and noise source areas in multiple sound source areas can be analyzed through the surface data, thereby achieving the purpose of accurately determining the noise source.

[0017] In some embodiments, the sound pressure sensor array is disposed at a preset distance from the front of the target device, the sound pressure sensor array has the same length and height as the front of the target device, and the sound pressure sensor array is parallel to the front of the target device.

[0018] In some embodiments, the controller is specifically configured to: for each sound pressure sensor area, respectively obtain the distance between the sound pressure sensor area and each sound source area; determine the sound intensity data of each sound pressure sensor area based on the target sound pressure data; determine the root mean square value of the sound pressure of each sound pressure sensor area based on the sound intensity data of each sound pressure sensor area; for each sound source area, determine the root mean square value of the sound pressure of each sound source area based on the root mean square value of the sound pressure of each sound pressure sensor area and the distance between each sound pressure sensor area and each sound source area.

[0019] In some embodiments, the root mean square value of the sound pressure in the sound source area is determined by the following formula:

[0020]

[0021] Among them, p S,RMS,n is the root mean square value of the sound pressure in the nth sound source area, L is the matrix consisting of the distance between each sound pressure sensor area and each sound source area, p I,RMS,m is the RMS value of the sound pressure in the mth sound pressure sensor area.

[0022] In some embodiments, the controller is specifically configured to determine the root mean square value of the sound pressure in the sound pressure sensor area according to the sound intensity data of the sound pressure sensor area, a preset sampling time, air density, and a propagation speed of sound in the air.

[0023] In some embodiments, the root mean square value of the sound pressure in the sound pressure sensor area is determined by the following formula:

[0024]

[0025] Among them, p Ii,RMS,i is the root mean square value of the sound pressure in the i-th sound pressure sensor area, Ii is the sound intensity data in the i-th sound pressure sensor area, T is the preset sampling time, ρ is the air density, and c is the speed of sound propagation in the air.

[0026] In some embodiments, the controller is specifically configured to: when the target device is in a working state, obtain the initial sound pressure data of each sound pressure sensor area detected by the sound pressure sensor array within a preset sampling time; preprocess the initial sound pressure data to obtain target sound pressure data, and the target sound pressure data is used to characterize the sound pressure within a preset frequency width range.

[0027] In a second aspect, an embodiment of the present application provides a method for controlling a noise detection device for a dishwasher, the method comprising:

[0028] When the target device is in working state, obtaining target sound pressure data of each sound pressure sensor area detected by the sound pressure sensor array within a preset sampling time, one sound pressure sensor corresponds to one sound pressure sensor area, and the target device includes a dishwasher;

[0029] Determine the root mean square value of the sound pressure of each sound source area of ​​the target device according to the target sound pressure data;

[0030] Performing surface interpolation processing on the root mean square value of the sound pressure in each sound source area to obtain surface data;

[0031] Based on the surface data, the noise source area is determined, and the noise source area is the sound source area where the maximum value in the surface data is located.

[0032] In a third aspect, an embodiment of the present application provides a controller comprising: one or more processors; one or more memories; wherein the one or more memories are used to store computer program codes, the computer program codes include computer instructions, and when the one or more processors execute the computer instructions, the controller executes the control method provided in the second aspect.

[0033] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which includes computer instructions. When the computer instructions are controlled on a computer, the computer executes the method provided in the second aspect and possible implementation methods.

[0034] In a fifth aspect, an embodiment of the present invention provides a computer program product, which can be directly loaded into a memory and contains software code. After being loaded and executed by a computer, the computer program product can implement the method provided in the second aspect and possible implementation methods.

[0035] It should be noted that the above computer instructions may be stored in whole or in part on a computer-readable storage medium, wherein the computer-readable storage medium may be packaged together with the processor of the controller, or may be packaged separately from the processor of the controller, which is not limited in this application.

[0036] The beneficial effects described in the second to fifth aspects of the present application can be referred to the beneficial effect analysis of the first aspect and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings are used to provide a further understanding of the technical solution of the present invention and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the technical solution of the present invention and do not constitute a limitation on the technical solution of the present invention.

[0038] Figure 1 A structural schematic diagram of a dishwasher noise detection device provided in an embodiment of the present application;

[0039] Figure 2 A schematic diagram of the structure of another dishwasher noise detection device provided in an embodiment of the present application;

[0040] Figure 3 A schematic diagram of the structure of another dishwasher noise detection device provided in an embodiment of the present application;

[0041] Figure 4 A schematic diagram of the structure of a sound pressure sensor array of a dishwasher noise detection device provided in an embodiment of the present application;

[0042] Figure 5 A schematic diagram of a comparison between a sound pressure sensor area and a sound source area provided in an embodiment of the present application;

[0043] Figure 6 A schematic diagram of the structure of a fixing device of a dishwasher noise detection device provided in an embodiment of the present application;

[0044] Figure 7 A schematic diagram of the hardware structure of a controller provided in an embodiment of the present application;

[0045] Figure 8 A schematic diagram of a display device of a dishwasher noise detection device provided in an embodiment of the present application;

[0046] Fig. 9A flow chart of a control method of a dishwasher noise detection device provided in an embodiment of the present application;

[0047] Fig.10 A schematic diagram of a sound source area provided in an embodiment of the present application;

[0048] Fig.11 A flowchart of another control method of a dishwasher noise detection device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0050] In the description of the present invention, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0051] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0052] The term "and / or" in this article is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0053] The terms "including" and "having" and any variations thereof mentioned in the description of this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include other steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or devices.

[0054] In addition, in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0055] To facilitate understanding, the basic concepts of some terms or technologies involved in the embodiments of the present application are first briefly introduced and explained.

[0056] A steady-state noise source refers to a noise source that remains stable in time and has a relatively stable frequency component, such as the noise of a continuously running machine. The determination of a steady-state noise source can help us understand the exact location of the noise source in order to control and manage the noise it generates.

[0057] Sound pressure is a physical quantity that describes the change in air pressure caused by sound vibration. The root mean square value of sound pressure represents the average amplitude of sound over a certain period of time.

[0058] Sound intensity is an indicator that describes the propagation of sound energy. The root mean square value of sound intensity represents the average sound intensity within a certain period of time.

[0059] Root mean square (RMS) refers to the square root of the average of the squares of a set of statistical data. In acoustics, RMS is usually used to identify the effective value of sound pressure and sound intensity.

[0060] The above is an introduction to some concepts involved in the embodiments of the present application, which will not be repeated below.

[0061] As described in the background technology, a dishwasher is an automatic tableware washing device that not only reduces the user's workload for washing tableware, but also makes the tableware more hygienic after being disinfected by the dishwasher. However, during the process of washing tableware, the dishwasher may cause collisions between the bowl basket and the door of the dishwasher, and between the tableware and the bowl basket, the door of the dishwasher, etc., thereby generating a lot of noise, which affects the user's experience.

[0062] In the related technology, the traditional hemispherical method arranges 6 sound pressure sensors (microphones) on a hemispherical surface in space according to the standard "EN60704-1:2010+A11:2012 Household and Similar Electrical Appliances - Airborne Noise Test Procedure". It can only measure the sound pressure data of 6 spatial points and calculate the noise performance index of the whole machine. It is difficult to locate the noise source and analyze the noise transmission path.

[0063] Brüel& With Siemens LMS acoustic holographic imaging equipment such as Figure 1 and Figure 2 As shown, the hardware part includes three parts: a sensor array composed of a large number of sensors, a data acquisition device and a laptop computer. The sound pressure data is collected through the sensor array, and the data is processed and analyzed. However, the data processing and analysis algorithms are not open source, and the procurement costs of software and hardware are relatively high.

[0064] In view of this, the present application sets up a sound pressure sensor array, and can determine the sound pressure root mean square value of each sound source area corresponding to each sound pressure sensor area one by one according to the sound pressure data detected by each sound pressure sensor, so as to perform surface interpolation processing on the sound pressure root mean square value of each sound source area, so as to obtain the surface data. Since each sound pressure sensor area has a corresponding sound source area, the present application can accurately determine the noise source area, so as to set a noise reduction component in the noise source area to reduce the noise generated by the dishwasher during operation.

[0065] To further describe the technical solution of the embodiment of the present application, Figure 3 Shown is a structural diagram of a dishwasher noise detection device provided in an embodiment of the present application.

[0066] Reference Figure 3 The dishwasher noise detection device 1 comprises: a sound pressure sensor array 10, a fixing device 20, a data acquisition device 30 and a controller 40 (the controller 40 is Figure 3 ). Among them,

[0067] The sound pressure sensor array 10 includes a plurality of sound pressure sensors, and the sound pressure sensors are used to detect sound pressure. For example, the sound pressure sensor in the embodiment of the present application may be a microphone.

[0068] In some embodiments, the sound pressure sensor array 10 is disposed at a preset distance from the front of the dishwasher, the sound pressure sensor array 10 is the same size as the front of the dishwasher, and the sound pressure sensor array 10 is parallel to the front of the dishwasher.

[0069] Optionally, the sound pressure sensor array is a rectangle of the same size and shape as the outer contour of the front of the dishwasher. The dishwasher noise detection device provided in the embodiment of the present application can be applied to an embedded dishwasher. Since the front of the embedded dishwasher is an open space, the noise of the dishwasher during operation is mainly transmitted through the front of the dishwasher. The sound pressure sensor array is arranged at a preset distance from the front of the dishwasher, which can better detect the noise generated by the dishwasher during operation.

[0070] For example, Figure 4As shown, the sound pressure sensor array 10 includes 6×6 sound pressure sensors, wherein the sound pressure sensor 101, the sound pressure sensor 102, the sound pressure sensor 103, the sound pressure sensor 104, the sound pressure sensor 105 and the sound pressure sensor 106 are in the same row, the sound pressure sensor 107, the sound pressure sensor 108, the sound pressure sensor 109, the sound pressure sensor 110, the sound pressure sensor 111 and the sound pressure sensor 112 are in the same row, and the sound pressure sensors 113, the sound pressure sensors 114, the sound pressure sensors 115, the sound pressure sensors 116, the sound pressure sensors 117 are in the same row. and sound pressure sensor 118 are in the same row, sound pressure sensor 119, sound pressure sensor 120, sound pressure sensor 121, sound pressure sensor 122, sound pressure sensor 123 and sound pressure sensor 124 are in the same row, sound pressure sensor 125, sound pressure sensor 126, sound pressure sensor 127, sound pressure sensor 128, sound pressure sensor 129 and sound pressure sensor 130 are in the same row, sound pressure sensor 131, sound pressure sensor 132, sound pressure sensor 133, sound pressure sensor 134, sound pressure sensor 135 and sound pressure sensor 136 are in the same row. The 6×6 sound pressure sensor array in the embodiment of the present application can be arranged in the above manner, which will not be repeated below.

[0071] In some embodiments, the outer contour of the front of the dishwasher is divided into a plurality of sound source areas equal to the number of sound pressure sensors to form a sound source matrix. One sound pressure sensor constitutes one sound pressure sensor area, and one sound pressure sensor area corresponds to one sound source area. Since the shape and size of the sound pressure sensor array 10 are the same as the shape and size of the outer contour of the front of the dishwasher, the sound pressure sensor array 10 can be the same shape and size as the sound source matrix. Since the distance between each sound pressure sensor area and each sound source area is different, the sound pressure of the noise emitted by the same sound source area detected by each sound pressure sensor is also different. Therefore, each sound source area can be detected with different sound pressure data by multiple sound pressure sensors. Figure 5 As shown, the sound pressure sensor array 10 is divided into sound pressure sensor area 1, sound pressure sensor area 2, sound pressure sensor area 3 and sound pressure sensor area 4, and the front of the washing machine is divided into sound source area 1, sound source area 2, sound source area 3 and sound source area 4. Figure 5 Taking the sound pressure sensor area 2 as an example, the sound pressure sensors in the sound pressure sensor area 2 can measure the sound pressure data emitted by the sound source area 1, the sound source area 2, the sound source area 3 and the sound source area 4.

[0072] The fixing device 20 is formed by connecting a plurality of circular tubes and is used to fix the sound pressure sensor.

[0073] Optional, such as Figure 6As shown, the length and height of the fixing device 20 are the same as the outer dimensions of the front of the dishwasher. The fixing device is composed of a metal circular tube 201 with an outer diameter of D and a thickness of t. The circular tubes 201 are welded to form the fixing device 20 so that the sound pressure sensor can be installed in the circular tube 201.

[0074] The data acquisition device 30 is connected to the sound pressure sensor via a cable, and is used to collect the sound pressure data detected by each sound pressure sensor.

[0075] Optionally, the number of data acquisition devices 30 may be one or more, and the embodiment of the present application does not limit the number of data acquisition devices.

[0076] like Figure 7 As shown, the controller 40 is electrically connected to the sound pressure sensor array 10 and the data acquisition device 30 .

[0077] In some embodiments, the controller 40 is used to obtain target sound pressure data of each sound pressure sensor area detected by the sound pressure sensor array within a preset sampling time when the target device is in a working state, and one sound pressure sensor corresponds to one sound pressure sensor area; determine the root mean square value of the sound pressure of each sound source area of ​​the target device according to the target sound pressure data; perform surface interpolation processing on the root mean square value of the sound pressure of each sound source area to obtain surface data; and determine the noise source area based on the surface data, and the noise source area is the sound source area where the maximum value in the surface data is located.

[0078] In some embodiments, the controller 40 is specifically used to obtain the distance between the sound pressure sensor area and each sound source area for each sound pressure sensor area; determine the sound intensity data of each sound pressure sensor area based on the target sound pressure data; determine the root mean square value of the sound pressure of each sound pressure sensor area based on the sound intensity data of each sound pressure sensor area; for each sound source area, determine the root mean square value of the sound pressure of each sound source area based on the root mean square value of the sound pressure of each sound pressure sensor area and the distance between each sound pressure sensor area and each sound source area.

[0079] In some embodiments, the controller 40 is specifically configured to determine the root mean square value of the sound pressure in the sound pressure sensor area according to the sound intensity data of the sound pressure sensor area, a preset sampling time, air density, and a propagation speed of sound in the air.

[0080] In some embodiments, the controller 40 is specifically used to obtain initial sound pressure data of each sound pressure sensor area detected by the sound pressure sensor array within a preset sampling time when the target device is in a working state; pre-process the initial sound pressure data to obtain target sound pressure data, and the target sound pressure data is used to characterize the sound pressure within a preset frequency width range.

[0081] In some embodiments, the controller 40 is further configured to determine a transmission path of the noise based on the surface data.

[0082] The controller 40 refers to a device that can generate an operation control signal according to the instruction operation code and the timing signal to instruct the dishwasher noise detection device to execute the control instruction. Exemplarily, the controller 40 can be a central processing unit (CPU), a general-purpose processor network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD) or any combination thereof. The controller can also be other devices with processing functions, such as circuits, devices or software modules, and the embodiments of the present application do not impose any restrictions on this.

[0083] In some embodiments, the controller 40 may be a microcontroller unit (MCU). MCU, also known as a single chip microcomputer or single chip microcomputer, is a computer that appropriately reduces the frequency and specifications of a central processing unit, and integrates peripheral interfaces such as memory, timer, USB, A / D conversion, UART, PLC, DMA, and even LCD driver circuits on a single chip to form a chip-level computer that performs different combination controls for different application scenarios.

[0084] In addition, the controller can be used to control the operation of various components in the dishwasher noise detection device 1, so that the various components of the dishwasher noise detection device 1 operate to achieve various predetermined functions of the dishwasher noise detection device 1.

[0085] In some embodiments, the dishwasher noise detection device further includes a display device 50. Figure 7 As shown, the display device 50 is electrically connected to the controller 40 .

[0086] The display device 50 is used to display the surface data to realize the visualization of the noise data.

[0087] For example, Figure 8 As shown, the display device 50 can display the noise source and the transmission path of the noise.

[0088] Optionally, the display device 50 may include at least one of a liquid crystal display (LCD), a thin film transistor LCD (TFT-LCD), an organic light emitting diode (OLED) display, a flexible display, a three-dimensional (3D) display, and the like.

[0089] It is understood that the structure illustrated in the embodiment of the present invention does not constitute a specific limitation on the dishwasher noise detection device. In other embodiments of the present application, the dishwasher noise detection device may include more or fewer components than shown in the figure, or combine some components, or split some components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0090] The following is a detailed introduction to the embodiments of the present application in conjunction with the accompanying drawings.

[0091] like Fig. 9 As shown, the embodiment of the present application provides a control method of a dishwasher noise detection device, which is applied to a controller of the dishwasher noise detection device. The method includes the following steps S101-S104:

[0092] S101. When the target device is in working state, obtain target sound pressure data of each sound pressure sensor area detected by the sound pressure sensor array within a preset sampling time.

[0093] The target device may be a dishwasher, the target device includes multiple sound source areas, and the preset sampling time may be 1 minute.

[0094] As a possible implementation manner, when the number of the data acquisition device is one, the data acquisition device sequentially acquires the target sound pressure data detected by each row of sound pressure sensors within a preset sampling time period at regular intervals.

[0095] Exemplarily, taking a 6×6 sound pressure sensor array as an example, when the number of data acquisition devices is one, the data acquisition device first acquires the target sound pressure data detected by sound pressure sensor 101-sound pressure sensor 106 within 1 minute. After 1 second, the data acquisition device acquires the target sound pressure data of sound pressure sensor 107-sound pressure sensor 112. After 1 second, the data acquisition device acquires the target sound pressure data of sound pressure sensor 1113-sound pressure sensor 118. After 1 second, the data acquisition device acquires the target sound pressure data of sound pressure sensor 119-sound pressure sensor 124. After 1 second, the data acquisition device acquires the target sound pressure data of sound pressure sensor 125-sound pressure sensor 130. After 1 second, the data acquisition device acquires the target sound pressure data of sound pressure sensor 131-sound pressure sensor 136. In this way, the target sound pressure data detected by each sound pressure sensor in the sound pressure sensor array within 1 minute is obtained.

[0096] As another possible implementation manner, when there are multiple data acquisition devices, the target sound pressure data detected by each sound pressure sensor within a preset sampling time period can be acquired simultaneously.

[0097] The above step S101 can be specifically implemented as the following steps:

[0098] When the target device is in working state, initial sound pressure data of each sound pressure sensor area detected by the sound pressure sensor array within a preset sampling time is obtained; the initial sound pressure data is preprocessed to obtain target sound pressure data.

[0099] The target sound pressure data is used to characterize the sound pressure within a preset frequency width range.

[0100] Optionally, the preset frequency width range may be 20 Hz to 20 kHz.

[0101] As a possible implementation, the initial sound pressure data is processed by bandpass filtering to obtain data of 20 Hz to 20 kHz. Bandpass filtering is a signal processing technology used to select signals within a specific frequency range and filter out signals within other frequency ranges.

[0102] Exemplarily, a lower limit frequency and an upper limit frequency are set in the bandpass filter to retain data in the range of 20 Hz to 20 kHz and filter out data outside the range of 20 Hz to 20 kHz, and the lower limit frequency and the upper limit frequency are usually expressed as values ​​between 0 and 1 at a normalized frequency. The bandpass filter may be a Butterworth filter, a Chebyshev filter, or a Bessel filter, etc.

[0103] Since the sound range that the human ear can hear is 20Hz to 20kHz, only the data of 20Hz to 20kHz can be considered to determine the noise source of the dishwasher.

[0104] S102: Determine a root mean square value of sound pressure in each sound source area of ​​the target device according to the target sound pressure data.

[0105] Among them, one sound source area corresponds to one sound pressure sensor area.

[0106] In some embodiments, the above step S102 can be specifically implemented as the following steps:

[0107] S1021. For each sound pressure sensor area, respectively obtain the distance between the sound pressure sensor area and each sound source area.

[0108] Optionally, the distance between the center of the sound pressure sensor and the center of the sound source area is taken as the distance between the sound pressure sensor area and the sound source area, and the distance between each sound pressure sensor area and each sound source area is calculated.

[0109] S1022: Determine the sound intensity data of each sound pressure sensor area according to the target sound pressure data.

[0110] As a possible implementation, the sound intensity in the sound pressure sensor area can be determined by the following formula:

[0111]

[0112] Among them, I i is the sound intensity data of the i-th sound pressure sensor area, is the target sound pressure data of the i-th sound pressure sensor area, ρ is the air density, and c is the propagation speed of sound in the air.

[0113] In the 6×6 sound pressure sensor array, the target sound pressure data detected by the sound pressure sensors 101-136 is the target sound pressure data of the sound pressure sensor area 1-sound pressure sensor area 36. Combined with the above formula, the sound intensity of the sound pressure sensor area 1-sound pressure sensor area 36 can be determined.

[0114] S1023. Determine a root mean square value of the sound pressure in each sound pressure sensor area according to the sound intensity data of each sound pressure sensor area.

[0115] As a possible implementation, the root mean square value of the sound pressure in the sound pressure sensor area is determined by the following formula:

[0116] The root mean square value of the sound pressure in the sound pressure sensor area p I,RMS,i It can be determined by the following formula:

[0117]

[0118] Among them, p I,RMS,i is the root mean square value of the sound pressure in the i-th sound pressure sensor area, T is the preset sampling time, I i is the sound intensity data of the i-th sound pressure sensor area, ρ is the air density, and c is the propagation speed of sound in the air.

[0119] S1024. For each sound source area, determine the root mean square value of the sound pressure of each sound source area according to the root mean square value of the sound pressure of each sound pressure sensor area and the distance between each sound pressure sensor area and each sound source area.

[0120] As a possible implementation method, since the front of the dishwasher is divided into m s ×n s There are sound source areas, and the sound intensity of each sound source area and the sound intensity of each sound pressure sensor area satisfy the following relationship:

[0121]

[0122] Where Ii is the sound intensity data of the i-th sound pressure sensor area, and Sj is the sound intensity of the j-th sound source area. In the 6×6 sound pressure sensor array, i≤m=36, j≤(m s ×n s ).

[0123] Optional, L i，j It can be determined by the following formula:

[0124]

[0125] Among them, r i,j is the distance between the i-th sound pressure sensor area and the j-th sound source area.

[0126] If m>i, or n>j, the matrix L is an ill-conditioned matrix. The truncated singular value method can be used to regularize the noise source area, determine the number of stages, and then obtain Sj.

[0127] Among them, the truncated singular value method is a matrix decomposition method used to reduce the dimension of the matrix. The truncated singular value method is based on singular value decomposition and approximates the original matrix by retaining the part with larger singular values, thereby reducing the computational complexity.

[0128] It can be seen that when m=n, S=L -1 *I. Where S is the sound intensity in the sound source area, and I is the sound intensity in the sound pressure sensor area.

[0129] And because the root mean square value of the sound pressure in the sound source area can be determined by the following formula:

[0130]

[0131] Among them, p S,RMS,j is the root mean square value of the sound pressure in the jth sound source area, T is the preset sampling time, ρ is the air density, and c is the speed of sound propagation in the air.

[0132] Therefore,

[0133]

[0134] Therefore, the root mean square value of the sound pressure in the sound source area can be determined by the following formula:

[0135]

[0136] Among them, p S,RMS,n is the root mean square value of the sound pressure in the nth sound source area, L is the matrix consisting of the distance between each sound pressure sensor area and each sound source area, p I,RMS,m is the RMS value of the sound pressure in the mth sound pressure sensor area.

[0137] Alternatively, L can be determined by the following formula:

[0138]

[0139] From the above formula, we can get m s ×n s The root mean square value of the sound pressure in the sound source area.

[0140] It can be seen from the above embodiments that the sound pressure root mean square value of the sound source area can be calculated through the sound pressure root mean square value of the sound pressure sensor area and the distance between the sound pressure sensor area and the sound source area to obtain the sound pressure root mean square value of each sound source area.

[0141] S103 , performing surface interpolation processing on the root mean square value of the sound pressure in each sound source area to obtain surface data.

[0142] As a possible implementation, Fig.10 As shown in the figure, a vertex of the outer contour of the dishwasher is taken as the origin, the length of the outer contour of the dishwasher is the x-axis, and the height of the outer contour of the dishwasher is the y-axis. The coordinate system is established, and the central coordinate of the jth sound source area is (x j ,y j ). Using the surface function z = f(x,y), for (x j ,y j ,p_(S,RMS,j)) is interpolated to make p_(S,RMS,j)=f(x j ,y j ) to obtain the entire surface data z*=f(x*,y*).

[0143] The above surface can be a cubic spline surface. A cubic spline surface is a method for defining a smooth surface in three-dimensional space. It connects a set of discrete data points and uses a cubic polynomial to fit the surface. The cubic spline surface has smoothness and controllability, and can generate a continuous and smooth surface under given boundary conditions. Specifically, the cubic spline surface uses one or more control point grids to define the surface shape, and uses interpolation or approximation techniques to calculate other points on the surface.

[0144] S104: Determine a noise source area based on the surface data.

[0145] The noise source area is the sound source area where the maximum value in the surface data is located.

[0146] Since surface interpolation processing can help analyze the spatial distribution of data, fill in data gaps, and generate a smooth surface model, the noise source can be visualized by analyzing the surface data z*=f(x*,y*) and displaying the noise source. The user can determine the specific location of the noise source in the sound source area based on the displayed surface data. Because the sound source area has the same length and height as the front of the dishwasher, one sound source area corresponds to an area on the front of the dishwasher. Based on the sound source area where the noise source is displayed, the specific location of the noise source in the dishwasher can be determined.

[0147] Fig. 9 The illustrated embodiment brings at least the following beneficial effects: by setting up a sound pressure sensor array, the present application can obtain the mean square error of sound pressure in each sound source area of ​​the target device according to the sound pressure data detected by each sensor in the sound pressure sensor array. In this way, by further performing surface interpolation processing on the mean square error of sound pressure in each sound source area, surface data of multiple source areas can be obtained, and noise source areas in multiple sound source areas can be analyzed through the surface data, thereby achieving the purpose of accurately determining the noise source.

[0148] In some embodiments, the control method of the dishwasher noise detection device provided in the present application further includes the following steps: determining the transmission path of the noise based on the surface data.

[0149] As a possible implementation manner, the transmission path of the noise is determined according to the slope of the surface function.

[0150] As can be seen from the above embodiments, the present application can determine the noise source region in multiple sound source regions and the transmission path of the noise according to the surface data, so as to display the specific position of the noise source region in multiple sound source regions and the specific transmission path of the noise to the user, so as to determine the corresponding position of the noise source in the dishwasher and the specific transmission path of the noise in the dishwasher, thereby realizing the visualization of the noise transmission path.

[0151] As a possible implementation method, after the noise source area is determined based on the surface data, a noise reduction component can be set in the noise source area according to the position comparison relationship between the noise source area and the front of the dishwasher to reduce the noise caused by collision during the operation of the dishwasher.

[0152] Combine the following Fig.11 A control method of a dishwasher noise detection device provided in an embodiment of the present application is described.

[0153] After the fixture is installed, the sound pressure sensors 101-106 are installed;

[0154] After the sound pressure sensors 101 - 106 are installed, the dishwasher is operated;

[0155] When the dishwasher is in operation, obtaining sound pressure data detected by the sound pressure sensors 101-106 within a preset sampling time period;

[0156] After obtaining the sound pressure data detected by the sound pressure sensors 1-6 within the preset sampling time, installing the sound pressure sensors 107-112 to obtain the sound pressure data detected by the sound pressure sensors 107-112 within the preset sampling time;

[0157] After obtaining the sound pressure data detected by the sound pressure sensors 107-112 within the preset sampling time, installing the sound pressure sensors 113-118 to obtain the sound pressure data detected by the sound pressure sensors 113-118 within the preset sampling time;

[0158] After obtaining the sound pressure data detected by the sound pressure sensors 113-118 within the preset sampling time, installing the sound pressure sensors 119-124 to obtain the sound pressure data detected by the sound pressure sensors 119-124 within the preset sampling time;

[0159] After obtaining the sound pressure data detected by the sound pressure sensors 119-124 within the preset sampling time, installing the sound pressure sensors 125-130 to obtain the sound pressure data detected by the sound pressure sensors 125-130 within the preset sampling time;

[0160] After obtaining the sound pressure data detected by the sound pressure sensors 125-130 within the preset sampling time, installing the sound pressure sensors 131-136 to obtain the sound pressure data detected by the sound pressure sensors 131-136 within the preset sampling time;

[0161] After acquiring the sound pressure data detected by the sound pressure sensors 131-136 within the preset sampling time, bandpass filtering is performed on the sound pressure data collected by the sound pressure sensors 101-136;

[0162] After performing bandpass filtering on the collected sound pressures of the sound pressure sensors 101 - 136 , calculating the root mean square values ​​of the sound pressures of the sound pressure sensors 101 - 136 ;

[0163] After calculating the root mean square values ​​of the sound pressure sensors 101 - 136 , surface interpolation processing is performed on the root mean square values ​​of the sound pressure sensors 101 - 136 ;

[0164] According to the data processed by surface interpolation, the noise source area and noise transmission path are determined.

[0165] It can be seen that the above mainly introduces the solution provided by the embodiment of the present application from the perspective of the method. To achieve the above functions, the embodiment of the present application provides a hardware structure and / or software module corresponding to each function. Those skilled in the art should easily appreciate that, in combination with the modules and algorithm steps of each example described in the embodiment disclosed herein, the embodiment of the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0166] The embodiment of the present application can divide the controller into functional modules according to the above method example. For example, each functional module can be divided according to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of software functional modules. Optionally, the division of modules in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0167] An embodiment of the present application further provides a computer-readable storage medium, comprising computer-executable instructions, which, when executed on a computer, enable the computer to execute any one of the control methods for the dishwasher noise detection device provided in the above embodiments.

[0168] An embodiment of the present application also provides a computer program product including computer executable instructions, which, when executed on a computer, enables the computer to execute any one of the control methods for the dishwasher noise detection device provided in the above embodiments.

[0169] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using a software program, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer-executable instructions. When the computer-executable instructions are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer-executable instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer-executable instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more servers that can be integrated with the medium. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a DVD), or a semiconductor medium (eg, a solid state disk (SSD)).

[0170] Although the present application is described herein in conjunction with various embodiments, in the process of implementing the claimed application, those skilled in the art may understand and implement other changes to the disclosed embodiments by viewing the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other components or steps, and "one" or "an" does not exclude multiple situations. A single processor or other unit may implement several functions listed in a claim. Certain measures are recorded in mutually different dependent claims, but this does not mean that these measures cannot be combined to produce good results.

[0171] Although the present application is described in conjunction with specific features and embodiments thereof, it is obvious that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the drawings are merely exemplary illustrations of the present application as defined by the appended claims, and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art may make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

[0172] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A dishwasher noise detection device, characterized in that: include: A sound pressure sensor array, comprising a plurality of sound pressure sensors, the sound pressure sensor array is opposite to the front of the target device and is used to detect sound pressure data of the target device; The target device includes a plurality of sound source areas, and the target device includes a dishwasher; A fixing device formed by connecting a plurality of circular tubes, the fixing device being used to fix the sound pressure sensor array; At least one data acquisition device, used to acquire the sound pressure data detected by each of the sound pressure sensors; A controller is electrically connected to the sound pressure sensor array and the at least one data acquisition device, and the controller is configured to: When the target device is in a working state, obtaining target sound pressure data of each sound pressure sensor area detected by the sound pressure sensor array within a preset sampling time, wherein one sound pressure sensor corresponds to one sound pressure sensor area; Determining a root mean square value of sound pressure in each sound source area of ​​the target device according to the target sound pressure data; Performing surface interpolation processing on the root mean square value of the sound pressure in each of the sound source areas to obtain surface data; Based on the curved surface data, a noise source region is determined, where the noise source region is a sound source region where a maximum value in the curved surface data is located.

2. The dishwasher noise detection device according to claim 1, characterized in that: The sound pressure sensor array is arranged at a preset distance from the front of the target device, the sound pressure sensor array has the same length and height as the front of the target device, and the sound pressure sensor array is parallel to the front of the target device.

3. The dishwasher noise detection device according to claim 1, characterized in that: The controller is specifically configured as follows: For each of the sound pressure sensor areas, respectively obtaining a distance between the sound pressure sensor area and each of the sound source areas; Determining sound intensity data of each sound pressure sensor area according to the target sound pressure data; Determining a root mean square value of sound pressure in each sound pressure sensor area according to the sound intensity data of each sound pressure sensor area; For each of the sound source regions, the root mean square value of the sound pressure of each of the sound source regions is determined according to the root mean square value of the sound pressure of each of the sound pressure sensor regions and the distance between each of the sound pressure sensor regions and each of the sound source regions.

4. The dishwasher noise detection device according to claim 3, characterized in that: The root mean square value of the sound pressure in the sound source area is determined by the following formula: Among them, p S,RMS,n is the root mean square value of the sound pressure of the nth sound source area, L is a matrix consisting of the distances between each sound pressure sensor area and each sound source area, p I,RMS,m is the RMS value of the sound pressure in the mth sound pressure sensor area.

5. The dishwasher noise detection device according to claim 3, characterized in that: The controller is specifically configured as follows: The root mean square value of the sound pressure in the sound pressure sensor area is determined according to the sound intensity data in the sound pressure sensor area, the preset sampling time, the air density, and the propagation speed of sound in the air.

6. The dishwasher noise detection device according to claim 5, characterized in that: The root mean square value of the sound pressure in the sound pressure sensor area is determined by the following formula: Among them, p Ii,RMS,i is the RMS value of the sound pressure in the ith sound pressure sensor area, Ii is the sound intensity data in the ith sound pressure sensor area, T is the sampling time, ρ is the air density, and c is the speed of sound propagation in the air.

7. The dishwasher noise detection device according to claim 1, characterized in that: The controller is specifically configured as follows: When the target device is in working state, obtaining initial sound pressure data of each sound pressure sensor area detected by the sound pressure sensor array within the preset sampling time length; The initial sound pressure data is preprocessed to obtain the target sound pressure data, where the target sound pressure data is used to characterize the sound pressure within a preset frequency width range.

8. A control method for a dishwasher noise detection device, characterized in that: The method comprises: When the target device is in working state, obtaining target sound pressure data of each sound pressure sensor area detected by the sound pressure sensor array within a preset sampling time, one sound pressure sensor corresponds to one sound pressure sensor area, and the target device includes a dishwasher; Determining a root mean square value of sound pressure in each sound source area of ​​the target device according to the target sound pressure data; Performing surface interpolation processing on the root mean square value of the sound pressure in each of the sound source areas to obtain surface data; Based on the curved surface data, a noise source region is determined, where the noise source region is a sound source region where a maximum value in the curved surface data is located.

9. The control method of the dishwasher noise detection device according to claim 8, characterized in that: Determining the root mean square value of the sound pressure of each sound source area of ​​the target device according to the target sound pressure data includes: For each of the sound pressure sensor areas, respectively obtaining a distance between the sound pressure sensor area and each of the sound source areas; Determining sound intensity data of each sound pressure sensor area according to the target sound pressure data; Determining a root mean square value of sound pressure in each sound pressure sensor area according to the sound intensity data of each sound pressure sensor area; For each of the sound source regions, the root mean square value of the sound pressure of each of the sound source regions is determined according to the root mean square value of the sound pressure of each of the sound pressure sensor regions and the distance between each of the sound pressure sensor regions and each of the sound source regions.

10. The control method of the dishwasher noise detection device according to claim 9, characterized in that: The root mean square value of the sound pressure in the sound source area is determined by the following formula: Among them, p S,RMS,n is the root mean square value of the sound pressure of the nth sound source area, L is a matrix consisting of the distances between each sound pressure sensor area and each sound source area, p I,RMS,m is the RMS value of the sound pressure in the mth sound pressure sensor area.

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